Cargando…
F-Classify: Fuzzy Rule Based Classification Method for Privacy Preservation of Multiple Sensitive Attributes
With the advent of smart health, smart cities, and smart grids, the amount of data has grown swiftly. When the collected data is published for valuable information mining, privacy turns out to be a key matter due to the presence of sensitive information. Such sensitive information comprises either a...
Autores principales: | Attaullah, Hasina, Anjum, Adeel, Kanwal, Tehsin, Malik, Saif Ur Rehman, Asheralieva, Alia, Malik, Hassan, Zoha, Ahmed, Arshad, Kamran, Imran, Muhammad Ali |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309743/ https://www.ncbi.nlm.nih.gov/pubmed/34300673 http://dx.doi.org/10.3390/s21144933 |
Ejemplares similares
-
A Deep Learning-Based Privacy-Preserving Model for Smart Healthcare in Internet of Medical Things Using Fog Computing
por: Moqurrab, Syed Atif, et al.
Publicado: (2022) -
A Novel Privacy Paradigm for Improving Serial Data Privacy
por: Shaukat, Ayesha, et al.
Publicado: (2022) -
Protecting the Privacy of Cancer Patients Using Fuzzy Association Rule Hiding
por: Krishnamoorthy, Sathiyapriya, et al.
Publicado: (2019) -
Comparative Study of Fuzzy Rule-Based Classifiers for Medical Applications
por: Czmil, Anna
Publicado: (2023) -
Enhancing the Efficiency of the Interval-Valued Fuzzy Rule-Based Classifier with Tuning and Rule Selection
por: Sanz, José Antonio, et al.
Publicado: (2020)